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The independence and predictivity of resting pain-free slow alpha frequency as a biomarker of pain: A reply to Mazaheri et al.
Valentini, Elia; Halder, Sebastian; Romei, Vincenzo.
Afiliação
  • Valentini E; University of Essex, Department of Psychology and Centre for Brain Science, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom. Electronic address: evalent@essex.ac.uk.
  • Halder S; University of Essex, School of Computer Science and Electronic Engineering, Colchester, United Kingdom.
  • Romei V; Centro studi e ricerche in Neuroscienze Cognitive, Dipartimento di Psicologia, Alma Mater Studiorum - Università di Bologna, Italy; Facultad de Lenguas y Educación, Universidad Antonio de Nebrija, Madrid, Spain.
Neuroimage ; 296: 120681, 2024 Aug 01.
Article em En | MEDLINE | ID: mdl-38857818
ABSTRACT
In response to Mazaheri et al.'s critique, we revisited our study (Valentini et al., 2022) on the relationship between peak alpha frequency (PAF) and pain. Their commentary prompted us to reassess our data to address the independence between slow and slowing alpha brain oscillations, as well as the predictivity of slow alpha oscillations in pain perception. Bayesian correlation analyses revealed mixed support for independence. Investigating predictivity, we found inconsistent associations between pre-PAF and unpleasantness ratings. We critically reflected on methodological and theoretical issues on the path to PAF validation as a pain biomarker. We emphasized the need for diversified methodology and analytical approaches as well as robust findings across research groups.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dor / Biomarcadores / Ritmo alfa Limite: Humans Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Dor / Biomarcadores / Ritmo alfa Limite: Humans Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2024 Tipo de documento: Article